cs.RO（2026-01-07）

📊 共 9 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (6 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (6 篇)

#	题目	一句话要点	标签	🔗	⭐
1	PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation	PointWorld：通过大规模3D世界模型实现野外环境机器人操作	humanoid manipulation bi-manual	✅
2	Locomotion Beyond Feet	提出Locomotion Beyond Feet，实现复杂地形下全身人形机器人运动	humanoid humanoid robot humanoid locomotion
3	CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos	提出CLAP，通过对比学习预训练视觉-语言-动作模型，实现从人类视频到机器人技能迁移。	manipulation contrastive learning vision-language-action
4	Stable Language Guidance for Vision-Language-Action Models	提出残差语义引导（RSS）框架，提升VLA模型在语言扰动下的鲁棒性	manipulation affordance vision-language-action
5	Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test	提出WoW-World-Eval基准以评估视频基础模型在具身AI中的表现	manipulation world model spatiotemporal
6	Towards Safe Autonomous Driving: A Real-Time Motion Planning Algorithm on Embedded Hardware	提出一种嵌入式实时运动规划算法，用于保障自动驾驶安全。	motion planning	✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
7	Dual-Attention Heterogeneous GNN for Multi-robot Collaborative Area Search via Deep Reinforcement Learning	提出基于双注意力异构图神经网络的深度强化学习方法，用于多机器人协同区域搜索。	reinforcement learning deep reinforcement learning
8	CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM	CoINS：通过技能感知VLM实现反事实交互式导航，解决机器人环境交互难题	reinforcement learning traversability affordance

🔬 支柱九：具身大模型 (Embodied Foundation Models) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
9	A Vision-Language-Action Model with Visual Prompt for OFF-Road Autonomous Driving	OFF-EMMA：基于视觉提示的视觉-语言-动作模型，用于越野自动驾驶	vision-language-action VLA multimodal

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